201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Capgemini Government Solutions (CGS) LLC is seeking highly motivated and experienced Senior Creative Director to join our team to support our government clients. The successful applicant will provide the creative vision for real-time 3D initiatives, such as mobile apps, AR/VR experiences, and serious games. This role will serve as the chief steward of our creative environment within the government consulting practice. The successful applicant will have the opportunity to apply and grow their skillset, work with a motivated and entrepreneurial team, engage with a wide range of stakeholders, and build CGS' capabilities to serve our clients. Job Responsibilities As a Senior Creative Director, you will: Overseeing the design and technical setup of RT3D experiences Developing design concepts and presenting pitches to customers and stakeholders Collaborate with the project team (i.e. project manager, designers, and developers) to ensure that the creative vision of the project is integrated into all aspects of production Leading and overseeing the efforts of designers and artists Required Qualifications: U.S. Citizenship is required. Eligible to obtain and maintain Government Security Clearance. Expert in Unity and Unreal RT3D engines Expert in 3D software technologies like Maya, Modo, Houdini, Blender Expert in ancillary 3D technologies like Adobe Substance products, Zbrush Expert in Figma, Photoshop, Illustrator, and XD Experience managing workload on a milestone basis with the Project Managers and other Stakeholders Expert in 3D design, spatial design, and UX/UI for all application types Track record of leading creative projects from brainstorming to shipped deliverable Ability to manage a team of designers and/or production artists Experience in VR/AR and wearable or IoT devices is a plus Experience with serious games including training and simulation Desired Qualifications: Domain expertise in government and aerospace industries Excellent communication skills, both verbal and written About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get The Future You Want Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
04/19/2024
Full time
Capgemini Government Solutions (CGS) LLC is seeking highly motivated and experienced Senior Creative Director to join our team to support our government clients. The successful applicant will provide the creative vision for real-time 3D initiatives, such as mobile apps, AR/VR experiences, and serious games. This role will serve as the chief steward of our creative environment within the government consulting practice. The successful applicant will have the opportunity to apply and grow their skillset, work with a motivated and entrepreneurial team, engage with a wide range of stakeholders, and build CGS' capabilities to serve our clients. Job Responsibilities As a Senior Creative Director, you will: Overseeing the design and technical setup of RT3D experiences Developing design concepts and presenting pitches to customers and stakeholders Collaborate with the project team (i.e. project manager, designers, and developers) to ensure that the creative vision of the project is integrated into all aspects of production Leading and overseeing the efforts of designers and artists Required Qualifications: U.S. Citizenship is required. Eligible to obtain and maintain Government Security Clearance. Expert in Unity and Unreal RT3D engines Expert in 3D software technologies like Maya, Modo, Houdini, Blender Expert in ancillary 3D technologies like Adobe Substance products, Zbrush Expert in Figma, Photoshop, Illustrator, and XD Experience managing workload on a milestone basis with the Project Managers and other Stakeholders Expert in 3D design, spatial design, and UX/UI for all application types Track record of leading creative projects from brainstorming to shipped deliverable Ability to manage a team of designers and/or production artists Experience in VR/AR and wearable or IoT devices is a plus Experience with serious games including training and simulation Desired Qualifications: Domain expertise in government and aerospace industries Excellent communication skills, both verbal and written About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get The Future You Want Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: A t Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We're all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify , prioritize and supervise the team to flawlessly execute on initiatives. Develops and coaches teams to be able to identify , manage, and escalate risk, and effectively manages risk within the teams you oversee. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Manages priorities and sets of analyst , assign projects and allocate resource , communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology , modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Ensures standard work processes and documentation requirements are timely and consistently followed by team . Encourages continuous improvement of team processes and share across functional teams to ensure consistency. Minimum Qualifications At a minimum, here's what we need from you: Bachelor's Degree in Analytics , Engineering, Statistics or related field 6 + years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Preferred Qualifications If we had our say, we'd also look for: Master's Degree in Analytics , Engineering, Mathematics, S tatistics or related field 8 + years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Application Deadline: The application window for this position is anticipated to close on Apr-23-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Compensation: The base pay for this position generally ranges between $126,500.00 to $177,300.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position. Benefits: We also offer a range of benefits and programs based on eligibility. These benefits include: Paid Parental Leave Paid Time Off 401(k) Plan Medical, Dental, Vision, & Health Savings Account STD, Life, LTD and AD&D Recognition Program Education Assistance Commuter Benefits Family Support Programs Employee Stock Purchase Plan Learn more at . What are you waiting for? Apply today! All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.
04/19/2024
Full time
Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: A t Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We're all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify , prioritize and supervise the team to flawlessly execute on initiatives. Develops and coaches teams to be able to identify , manage, and escalate risk, and effectively manages risk within the teams you oversee. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Manages priorities and sets of analyst , assign projects and allocate resource , communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology , modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Ensures standard work processes and documentation requirements are timely and consistently followed by team . Encourages continuous improvement of team processes and share across functional teams to ensure consistency. Minimum Qualifications At a minimum, here's what we need from you: Bachelor's Degree in Analytics , Engineering, Statistics or related field 6 + years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Preferred Qualifications If we had our say, we'd also look for: Master's Degree in Analytics , Engineering, Mathematics, S tatistics or related field 8 + years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Application Deadline: The application window for this position is anticipated to close on Apr-23-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Compensation: The base pay for this position generally ranges between $126,500.00 to $177,300.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position. Benefits: We also offer a range of benefits and programs based on eligibility. These benefits include: Paid Parental Leave Paid Time Off 401(k) Plan Medical, Dental, Vision, & Health Savings Account STD, Life, LTD and AD&D Recognition Program Education Assistance Commuter Benefits Family Support Programs Employee Stock Purchase Plan Learn more at . What are you waiting for? Apply today! All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.
Inspire health. Serve with compassion. Be the difference. Job Summary As a Senior Enterprise Intelligence Developer, you will lead the development and analysis of healthcare data to drive organizational performance and enhance decision-making processes. Leveraging advanced data modeling techniques and deep domain expertise, you will collaborate with stakeholders to translate business requirements into actionable insights and innovative solutions. This senior position requires a comprehensive understanding of healthcare operations, strong technical proficiency, and the ability to mentor junior analysts to deliver impactful results Accountabilities Works with management, staff, and physicians to lead, plan, design, and manage performance projects that improve complex processes or that result in the implementation of new programs. 40% Prepares and presents reports regarding progress, effectiveness, and outcomes of projects to administration, physicians, staff, patients, and community as appropriate. 20% Provides technical, statistical, and analytical expertise to teams and individuals to enhance clinical operations, business operations, and service delivery. 20% Serves on assigned committees as required. 5% Provides training, education, and mentoring in performance improvement methodologies and analytics. 10% Enhances personal professional growth and development through seminars, workshops, in service meetings, current literature and professional affiliations to keep abreast of the latest trends in the field of process improvement and project management. 5% Supervisory/Management Responsibilities This is a non-management job that will report to a supervisor, manager, director or executive. Minimum Education Bachelor's Degree - Engineering, Clinical, Business or related field; Industrial Engineering preferred. Masters degree preferred Minimum Experience 5 years - Industrial or Management Engineering; Healthcare Administration; Healthcare Financial Analysis; Healthcare Decision Support; Healthcare process improvement experience preferred. Other Required Experience Strong problem solving, analytical, performance improvement and project management skills. Six Sigma Black Belt - Preferred Strong organizational, project management, priority setting, and multi-tasking skills - Preferred Excellent verbal, written, and presentation skills with the ability to interact with personnel at all levels of the organization - Preferred Ability to facilitate teams and work collaboratively with other departments - Preferred Working knowledge of Lean methodologies - Preferred Work Shift Day (United States of America) Location Corporate Facility 7001 Corporate Department ITS Data Management Share your talent with us! Our vision is simple: to transform healthcare for the benefits of the communities we serve. The transformation of healthcare requires talented individuals in every role here at Prisma Health.
04/19/2024
Full time
Inspire health. Serve with compassion. Be the difference. Job Summary As a Senior Enterprise Intelligence Developer, you will lead the development and analysis of healthcare data to drive organizational performance and enhance decision-making processes. Leveraging advanced data modeling techniques and deep domain expertise, you will collaborate with stakeholders to translate business requirements into actionable insights and innovative solutions. This senior position requires a comprehensive understanding of healthcare operations, strong technical proficiency, and the ability to mentor junior analysts to deliver impactful results Accountabilities Works with management, staff, and physicians to lead, plan, design, and manage performance projects that improve complex processes or that result in the implementation of new programs. 40% Prepares and presents reports regarding progress, effectiveness, and outcomes of projects to administration, physicians, staff, patients, and community as appropriate. 20% Provides technical, statistical, and analytical expertise to teams and individuals to enhance clinical operations, business operations, and service delivery. 20% Serves on assigned committees as required. 5% Provides training, education, and mentoring in performance improvement methodologies and analytics. 10% Enhances personal professional growth and development through seminars, workshops, in service meetings, current literature and professional affiliations to keep abreast of the latest trends in the field of process improvement and project management. 5% Supervisory/Management Responsibilities This is a non-management job that will report to a supervisor, manager, director or executive. Minimum Education Bachelor's Degree - Engineering, Clinical, Business or related field; Industrial Engineering preferred. Masters degree preferred Minimum Experience 5 years - Industrial or Management Engineering; Healthcare Administration; Healthcare Financial Analysis; Healthcare Decision Support; Healthcare process improvement experience preferred. Other Required Experience Strong problem solving, analytical, performance improvement and project management skills. Six Sigma Black Belt - Preferred Strong organizational, project management, priority setting, and multi-tasking skills - Preferred Excellent verbal, written, and presentation skills with the ability to interact with personnel at all levels of the organization - Preferred Ability to facilitate teams and work collaboratively with other departments - Preferred Working knowledge of Lean methodologies - Preferred Work Shift Day (United States of America) Location Corporate Facility 7001 Corporate Department ITS Data Management Share your talent with us! Our vision is simple: to transform healthcare for the benefits of the communities we serve. The transformation of healthcare requires talented individuals in every role here at Prisma Health.
Remote Full Stack Engineer requires: & Expert in back-end development using Java technologies stack using micro-services architecture (e.g. Java language, Node.Js, React.Js etc). & Bachelor's Degree in Computer Science or related field. & A solid grounding in Computer Science fundamentals. & 8+ years of experience building successful production software systems. & Strong OOP skills, with ability to analyze requirements and transform into scalable software designs. & Experience with . & Knowledge of SQL and other/NoSQL/modern database and storage technologies. Desired understanding of Oracle, JDBC and ORM frameworks (e.g. Hibernate). & Experience with Design Patterns, MVC and frameworks (e.g. Spring). & Competent in design/implementation for reliability, availability, scalability, and performance. & Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.). & Experience with JAVA and JavaScript programming languages & Strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code & Demonstrate a high level of curiosity, passion for technology, pride of ownership and strive for excellence & Experience with using Agile/Scrum methodology for software development & Good understanding of microservices architecture & Experience on Identity standards such as OAuth 2.0, Open ID Connect, SCIM etc. & Working knowledge of web technologies (such as ) & GraphQL knowledge Authentication and Authorization concept.
04/19/2024
Remote Full Stack Engineer requires: & Expert in back-end development using Java technologies stack using micro-services architecture (e.g. Java language, Node.Js, React.Js etc). & Bachelor's Degree in Computer Science or related field. & A solid grounding in Computer Science fundamentals. & 8+ years of experience building successful production software systems. & Strong OOP skills, with ability to analyze requirements and transform into scalable software designs. & Experience with . & Knowledge of SQL and other/NoSQL/modern database and storage technologies. Desired understanding of Oracle, JDBC and ORM frameworks (e.g. Hibernate). & Experience with Design Patterns, MVC and frameworks (e.g. Spring). & Competent in design/implementation for reliability, availability, scalability, and performance. & Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.). & Experience with JAVA and JavaScript programming languages & Strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code & Demonstrate a high level of curiosity, passion for technology, pride of ownership and strive for excellence & Experience with using Agile/Scrum methodology for software development & Good understanding of microservices architecture & Experience on Identity standards such as OAuth 2.0, Open ID Connect, SCIM etc. & Working knowledge of web technologies (such as ) & GraphQL knowledge Authentication and Authorization concept.
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald's works. We provide best-in-class foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It's our goal to always provide an engaging, relevant, and simple experience for our customers. The Engineer I (Restaurant Systems Management - RSM) is part of the Restaurant Infrastructure & Operations Platform team within Global Technology Infrastructure & Operations (GTIO). This role reports to the Senior Technical Product Manager (RSM) and is responsible for RSM Engineering / Development, integration with other Restaurant and Enterprise systems, and setting patterns and direction for development. The RSM platform includes tools, processes, and services related to restaurant device configuration and management, compliance, software installation and security patching. This is an exciting opportunity for an experienced technology leader to help shape the transformation of infrastructure and operations products and services to the entire McDonalds environment. Responsibilities & Accountabilities: Design, implement, test, deploy and maintain innovative software solutions to transform platform service performance, durability, cost, and security. Execute short-term strategy for the Restaurant Systems Management team Play a pivotal role in the engineering and development of product features from beginning to end Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Perform assessments of RSM architecture and configurations against baseline; analyze performance to identify and develop system improvement opportunities Contribute to the performance of the team Contribute to a prioritized engineering / development roadmap, sequenced to align with overall platform strategy and other internal stakeholders. Provide guidance to platform architecture and key decisions. Provide input into restaurant global standards to ensure consistency. Liaise with internal leaders, segment and market teams, the Restaurant Compute and Hardware Solutions teams on their strategies and plans for individual solutions. Decompose complex problems into straightforward solutions. Consistently bring strong, data-driven business, and technical judgment to decisions. Identify core challenges or opportunities within business processes. Understand the root cause and impacts for the project and other teams. Remove bottlenecks to enable teams to work independently. Proactively identify gaps and opportunities (e.g., services, workflows, tooling) within or between systems and processes they support. Invest time to coach team members to refine their capabilities and close skill gaps.
04/19/2024
Full time
Job Description This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald's works. We provide best-in-class foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It's our goal to always provide an engaging, relevant, and simple experience for our customers. The Engineer I (Restaurant Systems Management - RSM) is part of the Restaurant Infrastructure & Operations Platform team within Global Technology Infrastructure & Operations (GTIO). This role reports to the Senior Technical Product Manager (RSM) and is responsible for RSM Engineering / Development, integration with other Restaurant and Enterprise systems, and setting patterns and direction for development. The RSM platform includes tools, processes, and services related to restaurant device configuration and management, compliance, software installation and security patching. This is an exciting opportunity for an experienced technology leader to help shape the transformation of infrastructure and operations products and services to the entire McDonalds environment. Responsibilities & Accountabilities: Design, implement, test, deploy and maintain innovative software solutions to transform platform service performance, durability, cost, and security. Execute short-term strategy for the Restaurant Systems Management team Play a pivotal role in the engineering and development of product features from beginning to end Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Perform assessments of RSM architecture and configurations against baseline; analyze performance to identify and develop system improvement opportunities Contribute to the performance of the team Contribute to a prioritized engineering / development roadmap, sequenced to align with overall platform strategy and other internal stakeholders. Provide guidance to platform architecture and key decisions. Provide input into restaurant global standards to ensure consistency. Liaise with internal leaders, segment and market teams, the Restaurant Compute and Hardware Solutions teams on their strategies and plans for individual solutions. Decompose complex problems into straightforward solutions. Consistently bring strong, data-driven business, and technical judgment to decisions. Identify core challenges or opportunities within business processes. Understand the root cause and impacts for the project and other teams. Remove bottlenecks to enable teams to work independently. Proactively identify gaps and opportunities (e.g., services, workflows, tooling) within or between systems and processes they support. Invest time to coach team members to refine their capabilities and close skill gaps.
The Senior Architect will lead projects and design new construction, alterations, and redevelopments on new and existing water/wastewater treatment projects, including water treatment processes, chemical storage/feed, administrative offices, and laboratory spaces. The Senior Architect will lead the architecture throughout the design and construction process, adapting architectural plans according to budget constraints, environmental factors, or client needs. Lead the architectural design of projects from the conceptual phase through design completion for project needs and requirements that are set forth by the project managers. Develop, modify, and review production drawings for new construction, alterations, and redevelopments on new and existing water/wastewater treatment projects, including water treatment processes, chemical storage/feed, administrative offices, and laboratory spaces. Participate in development of project schedule, scope, budget staffing planning and construction planning. Responsible for effective management of change orders. Applies expert knowledge of commonly used architectural concepts, practices, codes and procedures within the architectural industry. Compiles studies and reports. Writes specifications. Applies knowledge and experience to complex projects, find's/develops non-standard design solutions. Quality review production drawings for a variety of projects and project related data as required by the project managers to verify design compliance with project, client, and industry standards, including constructability. Quality review the construction administration including coordination with field personnel to resolve design related installation issues, calculations, field inspections and testing of materials. Leads field inspections, installation, measurements or calculations for public and private clients. Prepare and present technical reports for clients and industry publications. Build effective relationships with existing clients, customers and contractors and develop new business opportunities. Responsible for ensuring customer satisfaction goals and expectations are met. Participate sales and marketing efforts and identify, lead and manage key pursuits. Lead the development of cost proposals and qualification statements to achieve stated targets and standards for financial performance. Prepare, present and manage project budgets and cost estimates. Report project performance. Provide leadership, guidance and instruction to the architectural practice. Mentor and guide less experienced engineers. Responsible for QA/QC process adherence. Responsible for effective communication with other architectural teams. Responsible for compliance with company and site safety policies Performs other duties as assigned Complies with all policies and standards Bachelor Degree in Architecture from an accredited program and 8 years of architectural experience, consulting preferred. Required Expert knowledge in standard architectural techniques and procedures. Excellent written and verbal communication skills. Expert computer skills (e.g. Microsoft Office Suite) Expert computer skills (e.g. BIM (Revit), Adobe Suites, and 3D rendering programs). Ability to work methodically and analytically in a quantitative problem-solving environment and demonstrated critical thinking skills. Expert attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Experience with leading the design for large projects and delegating work tasks to team members. Ability to lead execution of work and resolve issues in a team environment. Demonstrated critical thinking skills, ability to work methodically and analytically in a quantitative problem-solving environment. Strong attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Ability to perform quality reviews for detailed architectural documents and specifications. Ability to travel. Registered Architect Preferred EEO/Minorities/Females/Disabled/Veterans
04/19/2024
Full time
The Senior Architect will lead projects and design new construction, alterations, and redevelopments on new and existing water/wastewater treatment projects, including water treatment processes, chemical storage/feed, administrative offices, and laboratory spaces. The Senior Architect will lead the architecture throughout the design and construction process, adapting architectural plans according to budget constraints, environmental factors, or client needs. Lead the architectural design of projects from the conceptual phase through design completion for project needs and requirements that are set forth by the project managers. Develop, modify, and review production drawings for new construction, alterations, and redevelopments on new and existing water/wastewater treatment projects, including water treatment processes, chemical storage/feed, administrative offices, and laboratory spaces. Participate in development of project schedule, scope, budget staffing planning and construction planning. Responsible for effective management of change orders. Applies expert knowledge of commonly used architectural concepts, practices, codes and procedures within the architectural industry. Compiles studies and reports. Writes specifications. Applies knowledge and experience to complex projects, find's/develops non-standard design solutions. Quality review production drawings for a variety of projects and project related data as required by the project managers to verify design compliance with project, client, and industry standards, including constructability. Quality review the construction administration including coordination with field personnel to resolve design related installation issues, calculations, field inspections and testing of materials. Leads field inspections, installation, measurements or calculations for public and private clients. Prepare and present technical reports for clients and industry publications. Build effective relationships with existing clients, customers and contractors and develop new business opportunities. Responsible for ensuring customer satisfaction goals and expectations are met. Participate sales and marketing efforts and identify, lead and manage key pursuits. Lead the development of cost proposals and qualification statements to achieve stated targets and standards for financial performance. Prepare, present and manage project budgets and cost estimates. Report project performance. Provide leadership, guidance and instruction to the architectural practice. Mentor and guide less experienced engineers. Responsible for QA/QC process adherence. Responsible for effective communication with other architectural teams. Responsible for compliance with company and site safety policies Performs other duties as assigned Complies with all policies and standards Bachelor Degree in Architecture from an accredited program and 8 years of architectural experience, consulting preferred. Required Expert knowledge in standard architectural techniques and procedures. Excellent written and verbal communication skills. Expert computer skills (e.g. Microsoft Office Suite) Expert computer skills (e.g. BIM (Revit), Adobe Suites, and 3D rendering programs). Ability to work methodically and analytically in a quantitative problem-solving environment and demonstrated critical thinking skills. Expert attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Experience with leading the design for large projects and delegating work tasks to team members. Ability to lead execution of work and resolve issues in a team environment. Demonstrated critical thinking skills, ability to work methodically and analytically in a quantitative problem-solving environment. Strong attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Ability to perform quality reviews for detailed architectural documents and specifications. Ability to travel. Registered Architect Preferred EEO/Minorities/Females/Disabled/Veterans
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Senior Superintendent Job Description: A Senior Superintendent (Supt.) directs the work flow of the project on site consistent with the project schedule and HITT safety and quality standards. The Senior Supt. provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. Senior Supt.s communicate project priorities to site staff and all subcontractors, serving as the primary leader on site for the construction project. Responsibilities Understanding and administering the HITT safety program to include all subcontractors, ensuring that all accidents/incidents are promptly reported and investigated, and assisting in safety inspections by outside agencies Maintain HITT quality standards for all aspects of the project Serve as the leader for all on site safety, managing a safe jobsite for all involved Maintain daily log of all activities and site conditions, while managing the punch list and closeout process through owner/architect acceptance Work with the project manager in formulating project schedule, ensuring that the proper methods and sequence of installation are followed, making and following through with schedule commitments, and maintaining HITT quality standards Maintain good working relationships with all subcontractors on the project, developing relationships within the community which enhance business opportunities, and ensuring subcontractors are treated fairly Ensure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutions Develop and organize the site team, arranging for temporary facilities/utilities for the site, and identifying long lead items that need to be expedited Collaborate with the project manager and site operations team throughout the life of the project Qualifications A four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred. In lieu of a degree, additional work experience is acceptable. 8-10 years' experience in commercial construction, including experience with a commercial general contractor Tenant renovations, service work, work in occupied spaces, weekend work, fast paced project experience all a plus Mastery of building processes and best practices Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Project lead experience preferred Previous experience in a superintendent or project lead experience preferred Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, OSHA 30 Certification preferred Ability to walk and/or stand for long periods of time and the ability to lift up to 50lbs Must demonstrate a strong ability to: Communicate clearly, concisely, and professionally, with a strong focus on audience appropriate business writing and verbal skills Demonstrate a positive attitude and passion for construction and our industry Gather data, interpret it into meaningful information, and relay that information through clear, concise communication strategies; ability to see how pieces and processes fit into and affect the bigger picture/business model Organize and manage tasks and priorities Demonstrate integrity consistently with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Create and maintain relationships with colleagues, clients, subcontractors, and vendors Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
04/19/2024
Full time
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Senior Superintendent Job Description: A Senior Superintendent (Supt.) directs the work flow of the project on site consistent with the project schedule and HITT safety and quality standards. The Senior Supt. provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. Senior Supt.s communicate project priorities to site staff and all subcontractors, serving as the primary leader on site for the construction project. Responsibilities Understanding and administering the HITT safety program to include all subcontractors, ensuring that all accidents/incidents are promptly reported and investigated, and assisting in safety inspections by outside agencies Maintain HITT quality standards for all aspects of the project Serve as the leader for all on site safety, managing a safe jobsite for all involved Maintain daily log of all activities and site conditions, while managing the punch list and closeout process through owner/architect acceptance Work with the project manager in formulating project schedule, ensuring that the proper methods and sequence of installation are followed, making and following through with schedule commitments, and maintaining HITT quality standards Maintain good working relationships with all subcontractors on the project, developing relationships within the community which enhance business opportunities, and ensuring subcontractors are treated fairly Ensure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutions Develop and organize the site team, arranging for temporary facilities/utilities for the site, and identifying long lead items that need to be expedited Collaborate with the project manager and site operations team throughout the life of the project Qualifications A four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred. In lieu of a degree, additional work experience is acceptable. 8-10 years' experience in commercial construction, including experience with a commercial general contractor Tenant renovations, service work, work in occupied spaces, weekend work, fast paced project experience all a plus Mastery of building processes and best practices Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Project lead experience preferred Previous experience in a superintendent or project lead experience preferred Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, OSHA 30 Certification preferred Ability to walk and/or stand for long periods of time and the ability to lift up to 50lbs Must demonstrate a strong ability to: Communicate clearly, concisely, and professionally, with a strong focus on audience appropriate business writing and verbal skills Demonstrate a positive attitude and passion for construction and our industry Gather data, interpret it into meaningful information, and relay that information through clear, concise communication strategies; ability to see how pieces and processes fit into and affect the bigger picture/business model Organize and manage tasks and priorities Demonstrate integrity consistently with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Create and maintain relationships with colleagues, clients, subcontractors, and vendors Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
Job description: Role Overview: As a Plastic Fabricator, you will be responsible for the precise cutting, bending, and welding of materials such as PVC, Polypropylene, PVDF, and Teflon. This position is based in a vibrant, well-equipped workshop where your contributions will directly impact our product quality and innovation. Key Responsibilities: Fabricate and assemble various plastic components by cutting, welding, and bending. Read and interpret blueprints and technical drawings. Collaborate closely with design engineers to translate concepts into functional products. Maintain equipment and ensure adherence to safety standards. Problem-solve and troubleshoot as needed to meet project specifications. Qualifications: Requirements: A High School Diploma or equivalent qualification. At least 5 years of experience in a similar role, with a solid background in welding PVC, polypropylene, and Teflon. Proficiency in hot air welding techniques. A robust mechanical aptitude and the ability to understand and execute blueprints in collaboration with design engineers. Hands-on experience with various tools such as drills, routers, tape measures, and table saws. Willingness to travel domestically on occasion. Additional Skills Appreciated: Experience in cabinet making or carpentry will be considered an asset but the other requirements must still be met. Why is This a Great Opportunity: Why is This a Great Opportunity 401(k) 401(k) matching Dental insurance Health insurance Paid time off Salary Type : Hourly Salary Min : $ 45 Salary Max : $ 50 Currency Type : USD
04/19/2024
Full time
Job description: Role Overview: As a Plastic Fabricator, you will be responsible for the precise cutting, bending, and welding of materials such as PVC, Polypropylene, PVDF, and Teflon. This position is based in a vibrant, well-equipped workshop where your contributions will directly impact our product quality and innovation. Key Responsibilities: Fabricate and assemble various plastic components by cutting, welding, and bending. Read and interpret blueprints and technical drawings. Collaborate closely with design engineers to translate concepts into functional products. Maintain equipment and ensure adherence to safety standards. Problem-solve and troubleshoot as needed to meet project specifications. Qualifications: Requirements: A High School Diploma or equivalent qualification. At least 5 years of experience in a similar role, with a solid background in welding PVC, polypropylene, and Teflon. Proficiency in hot air welding techniques. A robust mechanical aptitude and the ability to understand and execute blueprints in collaboration with design engineers. Hands-on experience with various tools such as drills, routers, tape measures, and table saws. Willingness to travel domestically on occasion. Additional Skills Appreciated: Experience in cabinet making or carpentry will be considered an asset but the other requirements must still be met. Why is This a Great Opportunity: Why is This a Great Opportunity 401(k) 401(k) matching Dental insurance Health insurance Paid time off Salary Type : Hourly Salary Min : $ 45 Salary Max : $ 50 Currency Type : USD
Leonardo DRS is a prime contractor, leading technology innovator and supplier of integrated products, services and support to military forces, intelligence agencies and defense contractors worldwide. The company specializes in naval and maritime systems, ground combat mission command and network computing, global satellite communications and network infrastructure, avionics systems, and intelligence and security solutions. Additionally, the company builds power systems and electro-optical/infrared systems for a wide range of commercial customers. Headquartered in Arlington, Virginia, Leonardo DRS is a wholly owned subsidiary of Leonardo S.p.A. For additional information on DRS, please visit our website at Job ID: 109391 The Leonardo DRS Land Systems business is a recognized leader in the design and integration of complex technologies into new and legacy systems and platforms for global military and commercial customers. We are a 3 year running Top Workplace in the Greater St. Louis area. Job Summary Leonardo DRS Land Systems is seeking a full time level V Electrical Engineer for our Goleta, CA facility. This position will be responsible for working with and/or leading a group of engineers on a technical activity and completion of activity on time and budget. They will design, develop, analyze, document and support testing of products, systems, and/or subsystems. This position will also use computer-aided engineering CAD schematic capture and/or other design/analysis software in the performance of assignments. Job Responsibilities Responsible for driving technology and completion of activity on time and budget Design, develop, analyze, document and support testing of products, systems or subsystems Ability to complete a technical project independently Mentor and coach other engineers Review customer specifications and requirements, and develop designs to best support them, including cost as a key design variable Provide budget, cost and schedule input for design assignments Document component and subsystem specifications and material requirements Analyze designs as necessary Specify and evaluate supplier components, subsystems and services Drive the program design to cost and design for manufacture requirements Develop prototypes to retire key development risks Communicate clearly (written and oral) with manufacturing, supply chain, program management and the customer as required Participate heavily in preparation of the more complex and significant proposals Provide technical expertise and assistance to other engineers and support personnel Job Responsibilities Part II Interact with technical management, other professionals, technicians and support personnel to coordinate, recommend and confer regarding technical activities and progress Support, communicate, reinforce and defend the mission, values and culture of the organization Attend appropriate engineering, customer or business meetings Troubleshoot and diagnose malfunctions in existing products or systems and makes modifications as needed. Compile and evaluate design and test data. Analyze, develop and recommend design approaches Qualifications Bachelor's degree in Engineering or related technical field with a minimum of 10 years of experience Experience in the design and development of electrical systems, architecture, and cabling design Knowledge on and experience with engineering drawing and CAD applications Knowledge on and experience with circuit simulation applications Knowledge on and experience with Circuit Card CAD applications (experience with ALTIUM a plus) Experience interfacing hardware components into a complete spec compliant system Experience designing and maintaining system Interface Control Documents (ICD) Must have electrical systems design experience and strong mechanical aptitude Must be able to determine the hardware compatibility of a system U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment. The expected pay scale for this position is $142,230.00/year - $211,212.00/year. Should the level, location, or scope of the position change during the hiring process, the pay scale may be modified accordingly. When extending an offer of employment, Leonardo DRS considers factors such as (but not limited to) the scope and responsibilities of the position; any Federal Government contract labor categories and contract wage rates, the candidate's relevant work experience, education/training, certifications, and key skills; internal equity; and market and business considerations. Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours. Some employees are eligible for limited benefits only Leonardo DRS, Inc. and its subsidiaries and affiliates are equal opportunity employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Leonardo DRS Land Systems division is a recognized world leader in the integration of complex technologies into legacy systems and platforms for military and commercial customers globally. DRS Land Systems offers a diverse portfolio of military products and technologies focused on battlefield reconnaissance and surveillance, survivability, lethality, heavy transport mobility, fuel and water distribution, radar and electronic systems testing. Headquartered in Bridgeton, MO with a 100- acre heavy equipment manufacturing facility in West Plains, MO, and a site in Goleta, GA.
04/19/2024
Full time
Leonardo DRS is a prime contractor, leading technology innovator and supplier of integrated products, services and support to military forces, intelligence agencies and defense contractors worldwide. The company specializes in naval and maritime systems, ground combat mission command and network computing, global satellite communications and network infrastructure, avionics systems, and intelligence and security solutions. Additionally, the company builds power systems and electro-optical/infrared systems for a wide range of commercial customers. Headquartered in Arlington, Virginia, Leonardo DRS is a wholly owned subsidiary of Leonardo S.p.A. For additional information on DRS, please visit our website at Job ID: 109391 The Leonardo DRS Land Systems business is a recognized leader in the design and integration of complex technologies into new and legacy systems and platforms for global military and commercial customers. We are a 3 year running Top Workplace in the Greater St. Louis area. Job Summary Leonardo DRS Land Systems is seeking a full time level V Electrical Engineer for our Goleta, CA facility. This position will be responsible for working with and/or leading a group of engineers on a technical activity and completion of activity on time and budget. They will design, develop, analyze, document and support testing of products, systems, and/or subsystems. This position will also use computer-aided engineering CAD schematic capture and/or other design/analysis software in the performance of assignments. Job Responsibilities Responsible for driving technology and completion of activity on time and budget Design, develop, analyze, document and support testing of products, systems or subsystems Ability to complete a technical project independently Mentor and coach other engineers Review customer specifications and requirements, and develop designs to best support them, including cost as a key design variable Provide budget, cost and schedule input for design assignments Document component and subsystem specifications and material requirements Analyze designs as necessary Specify and evaluate supplier components, subsystems and services Drive the program design to cost and design for manufacture requirements Develop prototypes to retire key development risks Communicate clearly (written and oral) with manufacturing, supply chain, program management and the customer as required Participate heavily in preparation of the more complex and significant proposals Provide technical expertise and assistance to other engineers and support personnel Job Responsibilities Part II Interact with technical management, other professionals, technicians and support personnel to coordinate, recommend and confer regarding technical activities and progress Support, communicate, reinforce and defend the mission, values and culture of the organization Attend appropriate engineering, customer or business meetings Troubleshoot and diagnose malfunctions in existing products or systems and makes modifications as needed. Compile and evaluate design and test data. Analyze, develop and recommend design approaches Qualifications Bachelor's degree in Engineering or related technical field with a minimum of 10 years of experience Experience in the design and development of electrical systems, architecture, and cabling design Knowledge on and experience with engineering drawing and CAD applications Knowledge on and experience with circuit simulation applications Knowledge on and experience with Circuit Card CAD applications (experience with ALTIUM a plus) Experience interfacing hardware components into a complete spec compliant system Experience designing and maintaining system Interface Control Documents (ICD) Must have electrical systems design experience and strong mechanical aptitude Must be able to determine the hardware compatibility of a system U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment. The expected pay scale for this position is $142,230.00/year - $211,212.00/year. Should the level, location, or scope of the position change during the hiring process, the pay scale may be modified accordingly. When extending an offer of employment, Leonardo DRS considers factors such as (but not limited to) the scope and responsibilities of the position; any Federal Government contract labor categories and contract wage rates, the candidate's relevant work experience, education/training, certifications, and key skills; internal equity; and market and business considerations. Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours. Some employees are eligible for limited benefits only Leonardo DRS, Inc. and its subsidiaries and affiliates are equal opportunity employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Leonardo DRS Land Systems division is a recognized world leader in the integration of complex technologies into legacy systems and platforms for military and commercial customers globally. DRS Land Systems offers a diverse portfolio of military products and technologies focused on battlefield reconnaissance and surveillance, survivability, lethality, heavy transport mobility, fuel and water distribution, radar and electronic systems testing. Headquartered in Bridgeton, MO with a 100- acre heavy equipment manufacturing facility in West Plains, MO, and a site in Goleta, GA.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities, to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/19/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Moffatt & Nichol is actively searching for a junior CAD Technician with an emphasis on structural drafting using REVIT to join our Raleigh office. The CAD Technician supports engineers by preparing routine layouts, detail drawings, assembly drawings, sketches, and diagrams. Moffatt & Nichol is a global infrastructure advisory firm in 40+ offices and 9 countries. We are currently ranked Engineering News Record for Marine & Port Facilities and Top 20 for Transportation. We provide practical solutions to clients in the marine terminal, transportation, energy, environmental, federal, and urban development markets around the world. We are a multidiscipline professional services firm with specialized expertise in structural, coastal, and civil engineering; environmental sciences; economics analysis; inspection and rehabilitation; and program management solutions. Duties and responsibilities: Uses ACAD (Autodesk), Civil 3D, and/or Microstation equipment and software to draft designs Creates and revises production drawings (detail and assembly drawings) Makes final sketch of proposed drawings, checking dimensions, materials, relation of one part to another, and relation of various parts to whole structure or project. Utilizes knowledge of various engineering practices, mathematics, building materials and other physical sciences to complete drawings Utilizes skills necessary to read blueprints, create 3-dimensional models, assemblies, and working drawings using REVIT and AutoCAD Other duties: Please note this job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Qualifications: Associate's degree in Drafting / Design with up to 2 years of experience Familiarity with AutoCAD and Civil3D Familiarity with Revit and MicroStation a plus All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171 Physical requirements: Work is generally performed in an office or client office setting. Ability to use standard office equipment is required. Travel will be required. Moffatt & Nichol's EEO Statement: As a global business, Moffatt & Nichol relies on diversity of culture and thought to deliver on our goal of Creative People, Practical Solutions serving our client needs, and ensures nondiscrimination in all activities in accordance with Title VII of the Civil Rights Act of 1964. We continuously seek talented, qualified employees in our world-wide operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. Moffatt & Nichol is proud to be an Equal Employment Opportunity/ Affirmative Action Employer/ Federal Contractor desiring priority referrals of all protected veterans for job openings EEO is the LAW If you need more information or require special assistance for persons with disabilities or limited English proficiency, please contact Human Resources at or TTY/TDD users please call 711.
04/19/2024
Full time
Moffatt & Nichol is actively searching for a junior CAD Technician with an emphasis on structural drafting using REVIT to join our Raleigh office. The CAD Technician supports engineers by preparing routine layouts, detail drawings, assembly drawings, sketches, and diagrams. Moffatt & Nichol is a global infrastructure advisory firm in 40+ offices and 9 countries. We are currently ranked Engineering News Record for Marine & Port Facilities and Top 20 for Transportation. We provide practical solutions to clients in the marine terminal, transportation, energy, environmental, federal, and urban development markets around the world. We are a multidiscipline professional services firm with specialized expertise in structural, coastal, and civil engineering; environmental sciences; economics analysis; inspection and rehabilitation; and program management solutions. Duties and responsibilities: Uses ACAD (Autodesk), Civil 3D, and/or Microstation equipment and software to draft designs Creates and revises production drawings (detail and assembly drawings) Makes final sketch of proposed drawings, checking dimensions, materials, relation of one part to another, and relation of various parts to whole structure or project. Utilizes knowledge of various engineering practices, mathematics, building materials and other physical sciences to complete drawings Utilizes skills necessary to read blueprints, create 3-dimensional models, assemblies, and working drawings using REVIT and AutoCAD Other duties: Please note this job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Qualifications: Associate's degree in Drafting / Design with up to 2 years of experience Familiarity with AutoCAD and Civil3D Familiarity with Revit and MicroStation a plus All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171 Physical requirements: Work is generally performed in an office or client office setting. Ability to use standard office equipment is required. Travel will be required. Moffatt & Nichol's EEO Statement: As a global business, Moffatt & Nichol relies on diversity of culture and thought to deliver on our goal of Creative People, Practical Solutions serving our client needs, and ensures nondiscrimination in all activities in accordance with Title VII of the Civil Rights Act of 1964. We continuously seek talented, qualified employees in our world-wide operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. Moffatt & Nichol is proud to be an Equal Employment Opportunity/ Affirmative Action Employer/ Federal Contractor desiring priority referrals of all protected veterans for job openings EEO is the LAW If you need more information or require special assistance for persons with disabilities or limited English proficiency, please contact Human Resources at or TTY/TDD users please call 711.